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Learn Power BI - Second Edition

You're reading from  Learn Power BI - Second Edition

Product type Book
Published in Feb 2022
Publisher Packt
ISBN-13 9781801811958
Pages 458 pages
Edition 2nd Edition
Languages
Author (1):
Greg Deckler Greg Deckler
Profile icon Greg Deckler

Table of Contents (19) Chapters

Preface 1. Section 1:The Basics
2. Chapter 1: Understanding Business Intelligence and Power BI 3. Chapter 2: Planning Projects with Power BI 4. Section 2:The Desktop
5. Chapter 3: Up and Running with Power BI Desktop 6. Chapter 4: Connecting to and Transforming Data 7. Chapter 5: Creating Data Models and Calculations 8. Chapter 6: Unlocking Insights 9. Chapter 7: Creating the Final Report 10. Section 3:The Service
11. Chapter 8: Publishing and Sharing 12. Chapter 9: Using Reports in the Power BI Service 13. Chapter 10: Understanding Dashboards, Apps, Goals, and Security 14. Chapter 11: Refreshing Content 15. Section 4:The Future
16. Chapter 12: Deploying, Governing, and Adopting Power BI 17. Chapter 13: Putting Your Knowledge to Use 18. Other Books You May Enjoy

Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in the text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: The first parameter is the 'Hours' table, on line 4, and a filter, on line 5.

A block of code is set as follows:

Column 3 = 
    SUMX(
        FILTER(
            ALL('Hours'),
            [Category] = "Billable" && [EmployeeID] = EARLIER([EmployeeID])
        ),
        [Hours]
    )

Bold: Indicates a new term, an important word, or words that you see on screen. For instance, words in menus or dialog boxes appear in bold. Here is an example: Power Platform includes Power BI datasets and dataflows, as well as the Dataverse

Tips or Important notes

Enter data queries support up to 3,000 cells of information. If you run into a limitation, you can always copy the table in Power BI and then paste it into Excel. Once you've done this, you can add the required information in Excel, save it, and then import this Excel file into Power BI.

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